Compare / GPT-5.6 Luna vs MiMo-V2.5

GPT-5.6 Luna vs MiMo-V2.5

Which is cheaper, which is more capable, and which does better at each kind of work, from 19 results on 3 sources that measured both models.

GPT-5.6 Luna
OpenAI · profile
MiMo-V2.5
Xiaomi · profile
Results compared
19
Shared sources
3

GPT-5.6 Luna or MiMo-V2.5? The short answer

  • MiMo-V2.5 is cheaper: $0.21 against $0.45 per million tokens, 2.1 times less.
  • GPT-5.6 Luna scores higher on the Artificial Analysis Intelligence Index: 37.3 against 25.2.
  • On our business benchmarks, GPT-5.6 Luna ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.

At a glance

GPT-5.6 LunaMiMo-V2.5
Price per million tokens$0.20 in · $1.20 out$0.17 in · $0.34 out
Blended (3 in : 1 out)$0.45$0.21
Cheapest host, blended$0.23 (OpenAI)$0.15 (GMICloud, FP8)
Intelligence Index37.325.2
Spring Prompt overall––
Output speed, tokens a second––
Context window1,050,000 tokens1,050,000 tokens
WeightsClosedOpen
Developer based inthe USChina

Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.

Which is better for what

Each model's rank among models available today, for each kind of work, from our own benchmarks and licensed sources. The better rank is in green.

Use caseGPT-5.6 LunaMiMo-V2.5
Agents and tool useMulti-step tasks with tools: support desks, coding agents, function calls 47 of 161 95 of 161
Professional workReal tasks from banking, consulting and law, business documents and freelance projects 20 of 51 not measured
Reasoning and knowledgeHard questions across science, maths and general knowledge 38 of 195 74 of 195
WritingWhat people prefer in blind comparisons, and judged writing quality 57 of 187 60 of 187
Sticking to the factsSummarising without inventing things, and factual answers 59 of 153 83 of 153

Every shared result

BenchmarkMetricGPT-5.6 LunaMiMo-V2.5
Arena (formerly LMArena)reportedOverallArena rating 1,4611,439
Arena (formerly LMArena)reportedBusiness, management and financeArena rating 1,4631,441
Arena (formerly LMArena)reportedCreative writingArena rating 1,4121,394
Arena (formerly LMArena)reportedExpert promptsArena rating 1,4911,470
Arena (formerly LMArena)reportedInstruction followingArena rating 1,4461,430
Arena (formerly LMArena)reportedOverallArena rating 1,4541,434
Arena (formerly LMArena)reportedWriting, literature and languageArena rating 1,4351,412
Artificial AnalysisreportedArtificial Analysis Coding Indexindex score 71.456.8
Artificial AnalysisreportedArtificial Analysis Intelligence Indexindex score 37.325.2
Artificial AnalysisreportedGPQA Diamond% of questions 91.1%84.9%
Artificial AnalysisreportedHumanity's Last Exam% of questions 39.5%27.2%
Artificial AnalysisreportedLong-context reasoning (AA-LCR)% of questions 83.7%73.0%
Artificial AnalysisreportedSciCode% of problems 53.6%43.9%
Artificial AnalysisreportedTerminal-Bench 2.1% of tasks 80.9%63.7%
Artificial AnalysisreportedTerminal-Bench 4.0% of tasks 11.6%0.0%
Artificial AnalysisreportedΤ-bench banking% of tasks 31.1%8.7%
UGI LeaderboardreportedRequested-length error% off the requested word count 15.0%16.0%
UGI LeaderboardreportedStyle adherencescore from 0 to 1 0.380.40
UGI LeaderboardreportedWriting scorescore out of 100 53.756.4

Bold green marks the better value on that metric. Where a source reports ranges that overlap, the difference may not be meaningful; see the benchmark page for ranges.

Quick answers

Is GPT-5.6 Luna better than MiMo-V2.5?

It depends on the task. Among models available today, on our benchmarks and licensed sources, GPT-5.6 Luna ranks higher for agents and tool use, reasoning and knowledge, writing and sticking to the facts.

Which is cheaper, GPT-5.6 Luna or MiMo-V2.5?

MiMo-V2.5 costs $0.21 per million tokens (three input to one output), against $0.45 for GPT-5.6 Luna.

Run GPT-5.6 Luna and MiMo-V2.5 on your own prompt

Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.